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We introduce a new algorithm for the structural analysis of finite abstract simplicial complexes based on local homology. Through an iterative and top-down procedure, our algorithm computes a stratification $pi$ of the poset $P$ of simplices of a simplicial complex $K$, such that for each strata $P_{pi=i} subset P$, $P_{pi=i}$ is maximal among all open subposets $U subset overline{P_{pi=i}}$ in its closure such that the restriction of the local $mathbb{Z}$-homology sheaf of $overline{P_{pi=i}}$ to $U$ is locally constant. Passage to the localization of $P$ dictated by $pi$ then attaches a canonical stratified homotopy type to $K$. Using $infty$-categorical methods, we first prove that the proposed algorithm correctly computes the canonical stratification of a simplicial complex; along the way, we prove a few general results about sheaves on posets and the homotopy types of links that may be of independent interest. We then present a pseudocode implementation of the algorithm, with special focus given to the case of dimension $leq 3$, and show that it runs in polynomial time. In particular, an $n$-dimensional simplicial complex with size $s$ and $nleq3$ can be processed in O($s^2$) time or O($s$) given one further assumption on the structure. Processing Delaunay triangulations of $2$-spheres and $3$-balls provides experimental confirmation of this linear running time.
In this paper we develop further the multi-parameter model of random simplicial complexes. Firstly, we give an intrinsic characterisation of the multi-parameter probability measure. Secondly, we show that in multi-parameter random simplicial complexe
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In many scientific and technological contexts we have only a poor understanding of the structure and details of appropriate mathematical models. We often, therefore, need to compare different models. With available data we can use formal statistical